December 2025
Intermediate to advanced
338 pages
9h 21m
English
Content preview from Building Natural Language and LLM Pipelines
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Introduction to Natural Language Processing Pipelines
In classic data science, designing and implementing data pipelines is crucial for ensuring that businesses and the public can obtain reliable insights into data. Data pipelines allow us to extract information systematically and then process it for further consumption. With the advent of natural language processing (NLP) and the emergence of large language models (LLMs), we can now process heaps of unstructured data, such as text, audio, and images.
This paradigm shift has unlocked remarkable capabilities, but as we enter 2026, the industry is at a critical inflection point. The era of pure experimentation with LLMs and agents is over. Enterprises and users are no longer asking, “Can AI ...
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